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ADLINK launches ROS 2 robotics controller for edge AI applications

ADLINK Technology, a specialist in edge computing, has launched the ROScube-X Series, a real-time ROS 2 robot controller for advanced robotics applications.

The ROScube-X Series is powered by the NVIDIA Jetson AGX Xavier module, which features an integrated NVIDIA Volta GPU, dual deep learning accelerators, and a wide variety of interfaces, including GMSL2 camera connectors for advanced robotics system integration.

The ROScube-X supports all the resources provided by the NVIDIA JetPack SDK and is specifically suited for robotics applications that demand high-performance AI computing capabilities with minimal power consumption.

Robotic systems based on the ROScube-X are supported by ADLINK’s Neuron SDK, a platform that's been designed for professional robotic applications such as autonomous mobile robots (AMR). With the newly released ROS 2 Foxy Fitzroy (codename "foxy"), Neuron SDK customers will now be able to benefit from long-term support (LTS).

“ADLINK is working closely with NVIDIA to empower high-performance AI computing at the edge and our new ROScube-X enables integrators to develop and deploy advanced robotics applications faster and easier than ever, allowing our industrial and commercial customers to take their business operations to next level and create new value in their product lines,” said Dr. Ryan Chen, Director of the Advanced Robotic Platform Group at ADLINK.

“We have also designed the ROScube-X as an integrated hardware and software solution which provides users a vantage point from which to optimise AI value by enabling powerful and sustainable deployment of their models. This gives our customers a competitive edge by providing them with a platform to immediately develop robotics solutions and allowing them to choose their hardware solution at deployment time.”

The Jetson embedded AI computing platform provides high-performance, low-power computing for deep learning and computer vision making it possible to build software-defined autonomous machines. Now with cloud-native support, the platform includes small form-factor Jetson modules with GPU-accelerated parallel processing, the JetPack SDK with developer tools and comprehensive libraries for building AI applications, along with an ecosystem of partners with services and products that accelerate development.

“Customers can get advanced robotics products to market more quickly with ADLINK’s expertise in edge computing and deep knowledge of the Jetson platform,” explained Murali Gopalakrishna, Head of Product Management, Autonomous Machines at NVIDIA. “Moreover, with support for cloud-native technologies now available across the NVIDIA Jetson lineup, manufacturers of intelligent machines and developers of AI applications can build and deploy high-quality, software-defined features on embedded and edge devices targeting robotics, industrial IoT and more.”

Author
Neil Tyler

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